| Full text | |
| Author(s): |
Nicolodelli, Gustavo
[1]
;
Herculano, Rondinelli D.
[2]
;
Marangoni, Bruno S.
[3]
;
Ribeiro, Matheus C. S.
[3]
;
Milori, Debora M. B. P.
[4]
;
Menegatti, Carlos R.
[5]
Total Authors: 6
|
| Affiliation: | [1] Univ Fed Santa Catarina, UFSC Dept Fis, POB 476, BR-88040900 Florianopolis, SC - Brazil
[2] UNESP Univ Estadual Paulista, Fac Ciencias Farmaceut FCFAR, POB 331, BR-14800903 Araraquara, SP - Brazil
[3] UFMS Univ Fed Mato Grosso Sul, Programa Posgrad Ciencia Mat, BR-79070900 Campo Grande, MS - Brazil
[4] Embrapa Instrumentacao, POB 741, BR-13560970 Sao Carlos, SP - Brazil
[5] Univ Sao Paulo, Escola Engn Lorena, POB 116, BR-12602810 Lorena, SP - Brazil
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | MATERIALS TODAY COMMUNICATIONS; v. 30, MAR 2022. |
| Web of Science Citations: | 0 |
| Abstract | |
Studies on the interaction of a biomaterial with other components are important to enhance its positive effects and resolve its limitations. Therefore, the search for fast and low-cost techniques is essential for the analysis, characterization and differentiation of these biomaterials. Laser-induced breakdown spectroscopy (LIPS) is a multielemental, fast, with reduced analytical cost and environmentally clean technique that does not require the use of reagents for sample preparation. In this work, an elemental characterization of collagen and non-collagen latex samples was performed by LIPS technique. Multivariate analyzes, such as principal component analysis (PCA) and machine learning (ML) algorithms were applied on LIPS data in order to differentiate the classes. The main elements detected in the LIBS spectra examined were due to C, Fe, Mg, Ca, Na, H, N and K. The best results were achieved using LIPS spectral data from the specific range: 656.15-656.55 nm combined with 744.08-744.48 nm. The elements H and N were identified as the main discriminating factors between the samples studied. The leave one out cross-validation tests indicates that collagen latex biomembrane can be differentiated from non-collagen samples with 94.44% accuracy using the Weighted K-Nearest Neighbor algorithm. (AU) | |
| FAPESP's process: | 13/07276-1 - CEPOF - Optics and Photonic Research Center |
| Grantee: | Vanderlei Salvador Bagnato |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| FAPESP's process: | 17/19603-8 - Development of a novel patch containing latex and barbatimam e fractions and study of signaling pathways in cutaneous wound repair |
| Grantee: | Rondinelli Donizetti Herculano |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 17/19248-3 - Using the LIBS technique for the study of heavy metals in leachate liquid samples |
| Grantee: | Carlos Renato Menegatti |
| Support Opportunities: | Regular Research Grants |